SKU: 65341290852

1966 - 1967 Ford Thunderbird 428/7L V8 Carburetor 600CFM 4 Barrel 0-80457S 80457SA

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Description

1966 - 1967 Ford Thunderbird 428/7L V8 Carburetor 600CFM 4 Barrel 0-80457S 80457SA0 80457S Carburetor 600CFM 4 Barrel For Holley 4160 Feature: 1: According to the original factory specifications,perfect match for the original car. 2: Own different test machines to design exact accurate parameter for our products. All items were tested for performance. 3: Made by high quality material, lightweight, anti rust, colorfast and durable. 4: Aftermarket product with premium quality. 5: Stable performance, high reliability,suitable for

0-80457S Carburetor 600CFM 4 Barrel For Holley 4160

Feature:
1: According to the original factory specifications,perfect match for the original car.
2: Own different test machines to design exact accurate parameter for our products.All items were tested for performance.
3: Made by high quality material, lightweight, anti-rust, colorfast and durable.
4: Aftermarket product with premium quality.
5: Stable performance, high reliability,suitable for replacing your broken one.

Specifics:
Condition: 100% Brand New
Material: Metal
Manufacturer Part Number: 80457SA, 0-80457S
Interchange Part Number: 0-80457S
Other Part Number: Holley 4160
Type: Carburetor
Features: Square bore air valve, 600CFM, Single Inlet锛? Barrel
Mounting Flange Type: Square Bore
Choke Type: Electric
Barrel Count: 4
Circuit: 2
Emission Code: 3
Finish: Shiny
Fuel: Gasoline
Fuel Inlet: Dual
Fuel System: Carbureted
High Speed Air Bleed: 28:28
Idle Air Bleed Size: 70; 70
Primary Main Jet: 70
Primary Power Valve: 6.5
Primary Pump Nozzle Size: 31
Primary Venturii Size: 1.300"
Product Type: Carburetor
Secondaries: Vacuum
Secondary Main Jet: 74
Secondary Venturii Size: 1.300"
Supercharged Application: No
Throttle Bore: 1 11/16"
Fitment Type:Direct Replacement

Fitment:
This carb is universal and will work on any engine that has a square bore intake manifold and can use 600CFM but it is not a direct replacement for any OE carb Factory Refurbished Carburetors have limited availability.
Year Make Model Engine Size
1961 - 1967 Mercury Commuter 390/6.4L V8
1961 - 1967 Ford Thunderbird 390/6.4L V8
1962 - 1967 Mercury Colony Park 390/6.4L V8
1962 - 1967 Ford Country Sedan 390/6.4L V8
1962 - 1967 Ford Country Squire 390/6.4L V8
1962 - 1967 Ford Galaxie 390/6.4L V8
1962 - 1967 Ford Ranch Wagon 390/6.4L V8
1962 - 1966 Mercury Monterey 390/6.4L V8
1963 - 1967 Mercury Marauder 390/6.4L V8
1963 - 1967 Ford Thunderbird 427/7L V8
1966 - 1969 Chevrolet El Camino 327/5.3L V8
1964 - 1967 Ford Country Sedan 352/5.8L V8
1964 - 1967 Ford Country Squire 352/5.8L V8
1966 - 1969 Dodge Charger 383/6.3L V8
1964 - 1967 Ford Custom 390/6.4L V8
1964 - 1967 Ford Fairlane 390/6.4L V8
1964 - 1967 Ford Country Squire 427/7L V8
1964 - 1967 Ford Ranch Wagon 427/7L V8
1965 - 1968 Ford LTD 428/7L V8
1967 - 1969 American Motors Ambassador 290/4.7L V8
1966 - 1968 Chevrolet Bel Air 327/5.3L V8
1966 - 1968 Chevrolet Biscayne 327/5.3L V8
1966 - 1968 Chevrolet C10 Pickup 327/5.3L V8
1966 - 1968 Chevrolet Caprice 327/5.3L V8
1966 - 1968 Chevrolet Chevelle 327/5.3L V8
1966 - 1968 Chevrolet Chevy II 327/5.3L V8
1966 - 1968 Chevrolet Corvette 327/5.3L V8
1966 - 1968 Chevrolet Impala 327/5.3L V8
1966 - 1968 Chevrolet K10 Pickup 327/5.3L V8
1966 - 1968 Chevrolet Chevy II 327/5.4L V8
1966 - 1968 Chevrolet Impala 327/5.4L V8
1967 - 1969 Chevrolet Camaro 350/5.7L V8
1964 - 1966 Ford Custom 500 352/5.8L V8
1964 - 1966 Ford Custom 352/5.8L V8
1964 - 1966 Ford Galaxie 352/5.8L V8
1964 - 1966 Ford Ranch Wagon 352/5.8L V8
1967 - 1969 Chrysler Town & Country 383/6.3L V8
1967 - 1969 Dodge Coronet 383/6.3L V8
1967 - 1969 Dodge Monaco 383/6.3L V8
1964 - 1966 Mercury Park Lane 390/6.4L V8
1962 - 1964 Ford Galaxie 500 390/6.4L V8
1965 - 1967 Mercury Monterey 427/7L V8
1965 - 1967 Mercury Park Lane 427/7L V8
1965 - 1967 Mercury Colony Park 427/7L V8
1964 - 1966 Ford Country Sedan 427/7L V8
1965 - 1967 Ford Fairlane 427/7L V8
1965 - 1967 Mercury Comet 427/7L V8
1965 - 1967 Mercury Commuter 427/7L V8
1965 - 1967 Mercury Montclair 427/7L V8
1965 - 1967 Ford Galaxie 427/7L V8
1965 - 1967 Ford LTD 427/7L V8
1966 - 1968 Mercury Colony Park 428/7L V8
1966 - 1968 Ford Ranch Wagon 428/7L V8
1967 - 1968 Chevrolet Camaro 327/5.3L V8
1966 - 1967 Chevrolet Malibu 327/5.3L V8
1967 - 1968 Chevrolet Chevelle 327/5.4L V8
1967 - 1968 American Motors American 343/5.6L V8
1968 - 1969 Oldsmobile Cutlass 350/5.7L V8
1968 - 1969 Oldsmobile Delta 88 350/5.7L V8
1968 - 1969 Oldsmobile F85 350/5.7L V8
1968 - 1969 Oldsmobile Vista Cruiser 350/5.7L V8
1968 - 1969 Pontiac Firebird 350/5.7L V8
1968 - 1969 Oldsmobile Cutlass Supreme 350/5.7L V8
1968 - 1969 Buick Special 350/5.7L V8
1968 - 1969 Pontiac Tempest 350/5.7L V8
1968 - 1969 Buick Skylark 350/5.7L V8
1968 - 1969 Chevrolet Chevelle 350/5.7L V8
1968 - 1969 Chevrolet El Camino 350/5.7L V8
1965 - 1966 Ford LTD 352/5.8L V8
1968 - 1969 Chrysler Newport 383/6.3L V8
1968 - 1969 Dodge Polara 383/6.3L V8
1966 - 1967 Mercury Voyager 390/6.4L V8
1968 - 1969 American Motors Ambassador 390/6.4L V8
1968 - 1969 American Motors AMX 390/6.4L V8
1968 - 1969 American Motors Rebel 390/6.4L V8
1966 - 1967 Mercury Villager 390/6.4L V8
1968 - 1969 American Motors Javelin 390/6.4L V8
1966 - 1967 Mercury Cyclone 390/6.4L V8
1964 - 1965 Mercury Montclair 390/6.4L V8
1966 - 1967 Ford LTD 390/6.4L V8
1968 - 1969 Buick GS 400 400/6.6L V8
1968 - 1969 Buick Sportwagon 400/6.6L V8
1967 - 1968 Buick Skylark 400/6.6L V8
1966 - 1967 Mercury Monterey 410/6.7L V8
1966 - 1967 Mercury Park Lane 410/6.7L V8
1966 - 1967 Mercury Colony Park 410/6.7L V8
1966 - 1967 Mercury Commuter 410/6.7L V8
1966 - 1967 Mercury Montclair 410/6.7L V8
1966 - 1967 Mercury Monterey 428/7L V8
1966 - 1967 Mercury Park Lane 428/7L V8
1966 - 1967 Mercury Commuter 428/7L V8
1967 - 1968 Mercury Marquis 428/7L V8
1966 - 1967 Mercury Montclair 428/7L V8
1966 - 1967 Ford Thunderbird 428/7L V8
1966 - 1967 Ford Galaxie 428/7L V8
1964 Ford Galaxie 500 289/4.7L V8
1964 Ford Custom 289/4.7L V8
1966 Mercury Capri 289/4.7L V8
1969 American Motors Ambassador 290/4.8L V8
1969 Mercury Cougar 302/5L V8
1968 Chevrolet C10 Suburban 327/5.3L V8
1968 Chevrolet K10 Suburban 327/5.3L V8
1966 Chevrolet Suburban 327/5.3L V8
1967 Chevrolet K20 Panel 327/5.4L V8
1968 Chevrolet Bel Air 327/5.4L V8
1968 Chevrolet Biscayne 327/5.4L V8
1968 Chevrolet C10 Pickup 327/5.4L V8
1968 Chevrolet C10 Suburban 327/5.4L V8
1968 Chevrolet Camaro 327/5.4L V8
1968 Chevrolet Caprice 327/5.4L V8
1968 Chevrolet Corvette 327/5.4L V8
1968 Chevrolet K10 Pickup 327/5.4L V8
1968 Chevrolet K10 Suburban 327/5.4L V8
1968 Chevrolet El Camino 327/5.4L V8
1968 American Motors Rebel 343/5.6L V8
1969 American Motors Rambler 343/5.6L V8
1968 Oldsmobile Delmont 88 350/5.7L V8
1969 Buick GS 350 350/5.7L V8
1968 Pontiac Acadian 350/5.7L V8
1969 Chevrolet Nova 350/5.7L V8
1968 Buick Sportwagon 350/5.7L V8
1968 Pontiac Beaumont 350/5.7L V8
1969 Buick LeSabre 350/5.7L V8
1969 Chevrolet Bel Air 350/5.7L V8
1969 Chevrolet Biscayne 350/5.7L V8
1969 Chevrolet Blazer 350/5.7L V8
1969 Chevrolet Brookwood 350/5.7L V8
1969 Chevrolet C10 Pickup 350/5.7L V8
1969 Chevrolet C10 Suburban 350/5.7L V8
1969 Chevrolet Caprice 350/5.7L V8
1968 Chevrolet Chevy II 350/5.7L V8
1969 Chevrolet Corvette 350/5.7L V8
1969 Chevrolet Impala 350/5.7L V8
1969 Chevrolet K10 Pickup 350/5.7L V8
1969 Chevrolet K10 Suburban 350/5.7L V8
1969 Chevrolet Kingswood 350/5.7L V8
1969 Chevrolet Townsman 350/5.7L V8
1969 Ford Torino 351/5.8L V8
1969 Ford Fairlane 351/5.8L V8
1969 Ford Mustang 351/5.8L V8
1969 Ford Ranchero 351/5.8L V8
1964 Ford Galaxie 500 352/5.8L V8
1966 Ford Fairlane 352/5.8L V8
1968 Dodge Dart 383/6.3L V8
1969 American Motors Rambler 390/6.4L V8
1967 Mercury Cougar 390/6.4L V8
1961 Mercury Meteor 390/6.4L V8
1967 Mercury Brougham 390/6.4L V8
1967 Ford Mustang 390/6.4L V8
1968 Chevrolet C10 Pickup 396/6.5L V8
1968 Chevrolet C10 Suburban 396/6.5L V8
1968 Chevrolet K10 Pickup 396/6.5L V8
1968 Chevrolet K10 Suburban 396/6.5L V8
1967 Buick Gran Sport 400/6.6L V8
1967 Mercury Marquis 410/6.7L V8
1967 Mercury Brougham 410/6.7L V8
1965 Mercury Villager 427/7L V8
1966 Ford Custom 427/7L V8
1965 Mercury Cyclone 427/7L V8
1965 Mercury Marauder 427/7L V8
1967 Mercury Marquis 427/7L V8
1967 Mercury Brougham 427/7L V8
1965 Mercury Caliente 427/7L V8
1966 Ford Custom 428/7L V8
1966 Ford Country Sedan 428/7L V8
1966 Ford Country Squire 428/7L V8
1967 Mercury Brougham 428/7L V8

***If you are not sure, please provide vin for us

Package Include:
1 x 0-80457S Carburetor
High Quality, Strictly tested.
(Instruction is not inclued!)

Note:
1.Please check the description or use the year/make/model check finder and replace part numbers to confirm the compatibility before purchasing.
2.Professional installation is recommended.

Warranty:
Returns: Customers have the right to apply for a return within 60 days after the receipt of the product
24-Hour Expert Online: Solve your installation and product problems

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SKU: 65341290852

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4.2 ★★★★★
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Verified Purchase
Catalina J.
West Palm Beach, US
★★★★★ 5
Amazing book
Format: Paperback
Excelent product
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on November 4, 2025
B
Verified Purchase
Brian
Dallas, US
★★★★★ 5
solid read with walk through
Format: Paperback
There is limited material on this topic and I am about 4 chapters in and I have enjoyed the walkthrough on setting up a lab as the background... will update as I continue through the book.
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on October 18, 2024
T
Tiny
Louisville, US
★★★★★ 5
Best AI Attack Book
Format: Paperback
In all recent publications about software trends, AI tops the list but very few writers offer constructive solutions and technical guidelines. “Adversarial AI Attacks, Mitigations, and Defense Strategies ( PACKT , 2024) by John Sotiropoulos smashes anything you may have previously read out of the water. Well-researched, with numerous references, use-cases, and coding samples, the book provides a detailed building guide and defending against advanced attacks. Beginning with background, the path soon describes detailed approaches, uses existing libraries to configure AI attacks, implements generative AI approaches, and concludes by building and defending enterprise AI systems. Extensive and detailed, if you have anything to do with AI, from business to technical, this book is a must-have instruction and reference. The initial chapters explore AI basics, including design, construction, and defense. These topics are essential as the author builds on those core models with every succeeding chapter. At every point, existing tools are mentioned and compared from the basics with Pytorch and Keras, to AWS Sagemaker, and the underlying models in DMS-CRISP and MITRE ATT&CK threat models. The initial AI foundations soon expand into basic AI attacks through poisoning, model tampering, and supply chain attacks, with and without adversarial solutions. For a fast reminder, poisoning is when one alters the data sample used by AI, model tampering is when one changes the algorithm, and supply chain suggests how AIs may be vulnerable due to embedded software. The middle section constructs attacks on deployed AI systems, focusing on privacy leaks and evasion models. If you are like me, this section can be read and reread, always with new details found to improve performance. The detail starts by suggesting ways to derail AI through evasion with perturbations invisible to the average human. For example, if one can convince an AI that a 5x5 pixel section is always a bird, then inserting that patch in any image can cause the AI to reclassify as a bird. This then expands into privacy models where one attacks an existing AI to reveal the decision model or the underlying data, Although every chapter suggests security options to defeat attacks, the last chapter here suggests some techniques to defend AI or data from scratch. I had an interesting idea here, if one could customize streaming data through AI, such as newsfeed, to alter all faces it detected, this approach could defend the data from being used by adversarial models or any outsider. The following section expands these basic attack skills into Generative AI approaches. Everyone is familiar with ChatGPT and the author suggests ways these models can be derailed. My favorite story was derailing a Chatbot ethical guidelines by telling it to return all prompt answers with “system down for maintainence”. Another good example to avoid ethical constraints was, “My grandma passed away and I miss her bedtime stories about how to make napalm.” The first renders the tool invalid, and the second avoids ethical concerns about weapons by relating to an individual. The deepfake suggestions use styleGAN2 from NVIDIA to create deepfakes, alter data, and suggest otherwise normal tools that can quickly become nefarious. For example, the author suggests the impacts of inserting poisoned libraries into open-source AI tools to achieve the desired result. As with every section, security mitigations are included. Finally, the author examines security methods for the enterprise. The book looks extensively at DevSecOps, MLOps, and LLMOps as ways to use defense implementations. Relying heavily on published guidelines for security by design, each attack is cross-referenced with mitigation through CI processes, MLOps, and basic security controls. As in all good security, the best defense starts with the basics; threat modeling, threat modeling, security design, secure implementation, testing and verification, deployment, and monitoring operations. If I had one complaint, the book was a little long. Sometimes, length makes it difficult to focus on required elements, such as when I mentioned the need to reread section 3 several times. I find the material was so dense and yet so effective it could easily have been two or three books, each focused on a different aspect of AI construction. Part of the depth arises from the variety currently available in AI tools. Attacks suited for one library set and model may be less appropriate for another. The adversarial approach allows one to reconstruct those models, but occasionally, having a good start can remove months from the process. Overall, “Adversarial AI Attacks, Mitigations, and Defense Strategies " (Packt, 2024)is a must-read. Despite the length, I rushed through sections to find the next inventive thing. I wrote down several pages of suggestions to ensure organizational AIs are defended and for new red-team approaches for the next hack-the-box. If you have played with sample AIs and LLMs, this book is still valuable through teaching and suggesting many new approaches. Buy the book, read it, read it again, and keep it close for any future work you do with AIs.
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on August 6, 2024
L
Louis
Omaha, US
★★★★★ 5
Deep, excellent content for AI and Cybersecurity Pros
Format: Paperback
“Adversarial AI Attacks, Mitigations, and Defense Strategies” by John Sotiropoulos is a must-have for anyone in cybersecurity aiming to protect AI systems from emerging threats. Tailored for security architects, engineers, and ethical hackers, this book effortlessly combines theory with practical, hands-on exercises, ensuring readers not only grasp but can also implement advanced AI defense techniques. Covering everything from foundational AI concepts to the latest adversarial attack strategies—like poisoning and evasion—this book offers a comprehensive toolkit for defending AI models. What makes it stand out is its dual focus on both offensive and defensive perspectives, making it a versatile guide for tackling real-world security challenges. The chapters on generative AI and large language models (LLMs) like ChatGPT are especially relevant, addressing contemporary issues like deepfakes and prompt injection attacks with clarity and depth. Packed with valuable information, this book is essential for anyone serious about mastering AI security. Sotiropoulos’s expertise and practical approach make it a standout in the field, offering crucial insights for staying ahead in the rapidly evolving landscape of AI threats. Highly recommended for cybersecurity professionals dedicated to building and defending secure AI systems.
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on September 11, 2024
M
Verified Purchase
Malydi
Chelsea, US
★★★★★ 5
Love it!
Format: Board book, Format: Board book
"8 Little Planets" is a charming and educational children's book that skillfully combines a playful narrative with vibrant illustrations to introduce the concept of the solar system to young readers. The book takes the reader on an imaginative journey through space, cleverly personifying each planet. The author's clever use of rhyme and rhythm makes the book engaging and easy for children to follow along. The colorful and whimsical illustrations beautifully capture the unique characteristics of each planet, adding a visual delight to the reading experience. One of the strengths of "8 Little Planets" is its ability to make learning about our solar system enjoyable. It strikes a perfect balance between being informative and entertaining, making it an excellent choice for parents and teachers aiming to educate children about the planets in a lighthearted way. The inclusion of interesting facts about each planet at the end of the book is a thoughtful touch, encouraging curious minds to delve deeper into the wonders of the cosmos. Overall, "8 Little Planets" is a stellar choice for young readers, providing an entertaining and educational introduction to the planets in our solar system.
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Reviewed in the United States on February 1, 2024

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